Polystar Showcases Agentic AI for Telco Service Assurance at MWC
Polystar unveils a multi-agent assurance solution at MWC 2026, extending its automated assurance portfolio with a specialized Agentic AI framework.
In today’s world of remote work, high‑definition video streaming, and cloud gaming, subscribers expect fiber‑like reliability - no matter what access technology they use.
Today’s subscribers expect flawless connectivity, whether they’re working remotely, streaming video, gaming, or simply relying on everyday digital services. But delivering fiber‑like reliability across diverse infrastructures - fiber, DSL, cable, and increasingly Fixed Wireless Access (FWA) requires far more than traditional monitoring.
Operators need real‑time insight, proactive detection, and a unified way to understand the full service experience.
In this video, Henri Helanterä, Head of Network Assurance at Polystar, shares expert insights on how to improve, automated and ripe the benefits of a modern, AI-driven solution for Fixed Broadband Monitoring.
Reliable, real‑time data is the foundation for proactive operations. With Polystar’s AI‑driven analytics, operators can automatically detect service degradations, anomalies, and emerging issues without constant manual monitoring. Machine learning models identify patterns, forecast resource consumption, and alert teams before customers are impacted.
AI‑assisted root‑cause analysis accelerates troubleshooting by determining whether issues originate in the in‑home Wi‑Fi environment, the Customer-Premises Equipment (CPE), or deeper within the access network.
The result?
98% faster incident detection
90% reduction in time to act
Faster issue resolution
Polystar’s Fixed Broadband Monitoring Solution empowers operators to take control of this complexity.
Our probe-based technology provides true end‑to‑end, network‑wide visibility across all subscribers, measuring everything from connection setup and DNS to latency, round‑trip times, throughput, and application‑level performance.
By integrating data from in‑home Wi‑Fi management systems, CPEs, and optical access networks, operators gain a single pane of glass view that pinpoints issues quickly and accurately - reducing OPEX and boosting customer satisfaction.
Operators gain:
Accurate problem detection and localization
Automated monitoring and accelerated root‑cause analysis
Improved service quality and customer confidence
Increased operational agility and efficiency
New opportunities for service uplift and upsell through data‑driven insights